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The primary purpose of simple linear regression analysis is to model and examine the linear relationship between two variables: one independent variable (predictor) and one dependent variable (outcome). It is used to predict the value of the dependent variable based on the value of the independent variable and to quantify the strength and direction of their relationship.
The primary purpose of simple linear regression analysis is to model and examine the linear relationship between two variables: one independent variable (predictor) and one dependent variable (outcome).